https://ojs.imeti.org/index.php/AITI/issue/feed Advances in Technology Innovation 2022-01-07T02:49:34+00:00 The editorial office aiti.taeti@gmail.com Open Journal Systems <p style="margin: 0cm 0cm 0pt;"><strong><em>Advances in Technology Innovation</em></strong> (AITI), ISSN 2518-2994 (Online), ISSN 2415-0436 (Print), is an international, multidiscipline, peer-reviewed scholarly journal. The official abbreviated title is <em><strong>Adv. technol. innov.</strong></em> It is dedicated to provide a platform for fast communication between the newest research works on the innovations of Technology &amp; Engineering. A paper will be online shortly once it is accepted and typeset. Currently, there is no publication charge, including article processing and submission charges. AITI is an open access journal which means that all contents are freely available without charge to the user or his/her institution.</p> <p><span style="color: black; font-family: 'Noto Sans'; font-size: 10.5pt;">AITI is indexed by:</span></p> <p><span style="color: black; font-family: 'Noto Sans'; font-size: 10.5pt;"><img style="width: 136px; height: 26px;" src="http://ojs.imeti.org/public/site/images/allen/image001.png" alt="" width="171" height="53">&nbsp; </span><img src="/public/site/images/ijeti/DOAJ4.png" alt=""> &nbsp;&nbsp; <img src="/public/site/images/ijeti/google5.png" alt=""> &nbsp; <img src="http://ojs.imeti.org/public/site/images/ijeti/CNKI.png" alt="">&nbsp; <img src="/public/site/images/allen/ProQuest-41.png"> <img src="/public/site/images/ijeti/CAB_ABSTRACTS4.png" alt="">&nbsp;&nbsp;<img src="/public/site/images/ijeti/Resarch_Bible5.png" alt="">&nbsp;&nbsp;<img src="/public/site/images/ijeti/WorldCat5.png" alt="">&nbsp;&nbsp;<img src="/public/site/images/allen/academia-12.png"> &nbsp;<img src="/public/site/images/ijeti/TOCs5.jpg" alt=""> &nbsp; <img src="/public/site/images/allen/Publons-22.5_1.png"> &nbsp;&nbsp;<img src="/public/site/images/allen/crossref3.png" width="92" height="42"></p> <p style="margin: 0cm 0cm 0pt;"><span style="color: black; font-family: 'Noto Sans'; font-size: 10.5pt;">&nbsp;Under evaluation of SCI, EI(Compendex) , INSPEC, etc.</span></p> <p style="margin: 0cm 0cm 0pt;">&nbsp;</p> https://ojs.imeti.org/index.php/AITI/article/view/8714 Effects of the Vibration Amplitude in Vibratory Stress Relief on the Fatigue Life of Structures 2022-01-07T02:49:34+00:00 Cuong Bui Manh buimanhcuongkck@lqdtu.edu.vn Duong Nguyen Van duongdmse@gmail.com Si Do Van vansihvkt@gmail.com Manh Phan Van phanmanhhvkt@gmail.com Van Thao Le thaomta@gmail.com <p>This research aims to investigate the effects of vibration amplitude in vibratory stress relief (VSR) on the fatigue strength of structures with residual stress. Experiments are carried out on specimens with residual stress generated by local heating. Flat specimens made of A36 steel are prepared to be suitable for setting up fatigue bending tests on a vibrating table. Several groups of samples are subjected to VSR at resonant frequencies with different acceleration amplitudes. The results show that VSR has an important influence on the residual stress and fatigue limit of steel specimens. The maximum residual stress in the samples is reduced about 73% when the amplitude of vibration acceleration is 57 m/s<sup>2</sup>. The VSR method can also improve the fatigue limit by up to 14% for steel samples with residual stress.</p> 2021-12-24T00:00:00+00:00 Copyright (c) 2021 Cuong Bui Manh, Duong Nguyen Van, Si Do Van, Manh Phan Van, Van Thao Le https://ojs.imeti.org/index.php/AITI/article/view/8504 Low Access Latency and High Throughput for Full-Duplex Cognitive Radio Using Mobility Caching Placement Strategy 2021-12-16T01:37:16+00:00 Madhunala Srilatha ma_srilatha2@yahoo.co.in Anantha Bharathi ma_srilatha2@yahoo.co.in <p>In a remote framework, the densely allotted radio range is not effectively utilized by an authorized primary user, which limits a secondary user to avoid disturbance to a primary user while utilizing a channel. To solve the shortage problem of accessible range, this study proposes a mobility caching placement strategy (MCPS) based sliding window scheme to optimize the latency and throughput of cognitive radio system. The performance parameters of the proposed system are analyzed using energy detection metrics by considering full-duplex communication. By the MATLAB analysis and the evaluation with and without self-interference suppression, the results demonstrate that the entrance inactivity of the MCPS based sliding window is diminished by a factor of 1.9 as contrasted with the existing full-duplex systems. With the improved latency and throughput, the proposed method can avoid the ruinous impacts of drawn-out self-residual suppression more effectively compared to the existing approaches.</p> 2021-12-16T01:37:14+00:00 Copyright (c) 2021 Madhunala Srilatha, Anantha Bharathi https://ojs.imeti.org/index.php/AITI/article/view/8492 Clustering Analysis with Embedding Vectors: An Application to Real Estate Market Delineation 2022-01-07T02:49:34+00:00 Changro Lee spatialstat@naver.com <p>Although clustering analysis is a popular tool in unsupervised learning, it is inefficient for the datasets dominated by categorical variables, e.g., real estate datasets. To apply clustering analysis to real estate datasets, this study proposes an entity embedding approach that transforms categorical variables into vector representations. Three variants of a clustering algorithm, i.e., the clustering based on the traditional Euclidean distance, the Gower distance, and the embedding vectors, are applied to the land sales records to delineate the real estate market in Gwacheon-si, Gyeonggi province, South Korea. Then, the relevance of the resultant submarkets is evaluated using the root mean squared errors (RMSE) obtained from a hedonic pricing model. The results show that the RMSE in the embedding vector-based algorithm decreases substantially from 0.076-0.077 to 0.069. This study shows that the clustering algorithm empowered by embedding vectors outperforms the conventional algorithms, thereby enhancing the relevance of the delineated submarkets.</p> 2021-11-30T00:00:00+00:00 Copyright (c) 2021 Changro Lee https://ojs.imeti.org/index.php/AITI/article/view/8538 An Integrated Approach towards Efficient Image Classification Using Deep CNN with Transfer Learning and PCA 2021-11-15T02:20:01+00:00 Rahul Sharma prof.sharma.rahul@gmail.com Amar Singh amar.23318@lpu.co.in <p>In image processing, developing efficient, automated, and accurate techniques to classify images with varying intensity level, resolution, aspect ratio, orientation, contrast, sharpness, etc. is a challenging task. This study presents an integrated approach for image classification by employing transfer learning for feature selection and using principal component analysis (PCA) for feature reduction. The PCA algorithm is employed for reducing the dimensionality of the features extracted by the VGG16 model to obtain a handful of features for speeding up image reorganization. For multilayer perceptron classifiers, support vector machine (SVM) and random forest (RF) algorithms are used. The performance of the proposed approach is compared with other classifiers. The experimental results establish the supremacy of the VGG16-PCA-Multilayer perceptron model integrated approach and achieve a reorganization accuracy of 91.145%, 95.0%, 92.33%, and 98.59% on Fashion-MNIST dataset, ORL dataset of faces, corn leaf disease dataset, and rice leaf disease datasets, respectively.</p> 2021-11-15T02:20:00+00:00 Copyright (c) 2021 Rahul Sharma, Amar Singh https://ojs.imeti.org/index.php/AITI/article/view/8434 CPW-Fed Penta Band Monopole Antenna for Multiservice Wireless Applications 2022-01-07T02:49:34+00:00 Raj Kumar raj_aga_raj@yahoo.co.in Yedukondalu Kamatham kyedukondalu@gmail.com Samineni Peddakrishna krishna.samineni@gmail.com Ajitha Gaddam raj_aga_raj@yahoo.co.in <p>A compact triple T-shaped stub with meander loaded strip antenna for penta band applications is proposed. The rectangular patch antenna with meandered and open-ended slot cuts is utilized to realize four operating bands at 2.45 GHz, 3.1 GHz, 5.3 GHz, and 6.5 GHz with an impedance bandwidth of 400 MHz (2.15-2.550 GHz), 1000 MHz (2.7-3.7 GHz), 200 MHz (5.4-5.6 GHz), and 200 MHz (6.4-6.6 GHz), respectively. For an additional resonance frequency, the length of the central T-shaped stub is slightly modified which causes the variation in the current distribution. As a result, the resonance frequency of 5.5 GHz is divided into two resonance frequency bands which are operating at 5.25 GHz and 5.85 GHz with an impedance bandwidth of 100 MHz (5.25-5.35 GHz) and 200 MHz (5.75-5.95 GHz), respectively. Furthermore, a parametric reflection coefficient and surface current distribution analysis is carried out to understand the strip and slot behavior at resonance frequency bands. Finally, a prototype is fabricated and its reflection coefficient, gain, and radiation pattern are measured. The experimental result shows that the proposed antenna is reliable for penta band applications.</p> 2021-11-09T00:00:00+00:00 Copyright (c) 2021 Raj Kumar, Yedukondalu Kamatham, Samineni Peddakrishna, Ajitha Gaddam https://ojs.imeti.org/index.php/AITI/article/view/8291 Cost-Effective Customizable Indoor Environmental Quality Monitoring System 2022-01-07T02:49:34+00:00 Mohammad Ayad Al-Rawi mohammad.al-rawi@wintec.ac.nz Praneel Chand praneelchand10@yahoo.co.nz Archie Van Mendoza Evangelista archievangelista@yahoo.com <p>Poor indoor environmental quality (IEQ) has become a global concern for World Health Organization (WHO), and its impact on health and well-being has been exacerbated by the COVID-19 pandemic. To monitor and sanitize indoor air, this study develops a cost-effective and customizable IEQ monitoring system to detect unhealthy and low-comfort air levels. This system uses ThingSpeak (MATLAB), microcontrollers (Arduino Uno), and various low-cost sensors to measure indoor air quality (IAQ) and IEQ in terms of gas, particulate matter, temperature, sound level, and ultraviolet (UV) light. The presented system is validated with respect to temperature, relative humidity, and particulate matter by benchmarking against the Camfil air image sensor manufactured by Camfil AB, Stockholm, Sweden. The average error of temperature, relative humidity, and PM<sub>2.5</sub> are 0.55%, 5.13%, and 3.45%, respectively.</p> 2021-10-28T00:00:00+00:00 Copyright (c) 2021 Mohammad Ayad Al-Rawi, Praneel Chand, Archie Van Mendoza Evangelista